在那个多颜色识别示例里,如何能把识别到的多个颜色区域的多个blob分别打印出来
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想识别多个色块,现在可以识别3个色块了,但是怎么获得三个色块的参数呢
from pyb import UART from pyb import Timer import sensor, image, time, math,json,pyb # Color Tracking Thresholds (L Min, L Max, A Min, A Max, B Min, B Max) # The below thresholds track in general red/green things. You may wish to tune them... thresholds = [(30, 100, 15, 127, 15, 127), # generic_red_thresholds (27, 100, -69, -44, -32, 33), # generic_green_thresholds (0, 100, -63, -16, -74, -27)] # generic_blue_thresholds # You may pass up to 16 thresholds above. However, it's not really possible to segment any # scene with 16 thresholds before color thresholds start to overlap heavily. sensor.reset() sensor.set_pixformat(sensor.RGB565) sensor.set_framesize(sensor.QVGA) sensor.skip_frames(time = 2000) sensor.set_auto_gain(False) # must be turned off for color tracking sensor.set_auto_whitebal(True) # must be turned off for color tracking clock = time.clock() # Only blobs that with more pixels than "pixel_threshold" and more area than "area_threshold" are # returned by "find_blobs" below. Change "pixels_threshold" and "area_threshold" if you change the # camera resolution. Don't set "merge=True" becuase that will merge blobs which we don't want here. uart = UART(3, 115200) while(True): clock.tick() img = sensor.snapshot() for blob in img.find_blobs(thresholds, pixels_threshold=200, area_threshold=200): # These values depend on the blob not being circular - otherwise they will be shaky. if blob.elongation() > 0.1: img.draw_edges(blob.min_corners(), color=(255,0,0)) img.draw_line(blob.major_axis_line(), color=(0,255,0)) img.draw_line(blob.minor_axis_line(), color=(0,0,255)) # These values are stable all the time. img.draw_rectangle(blob.rect()) img.draw_cross(blob.cx(), blob.cy()) # Note - the blob rotation is unique to 0-180 only. img.draw_keypoints([(blob.cx(), blob.cy(), int(math.degrees(blob.rotation())))], size=20) #output_str="[%c,%03d,%03d]" % ('Y',blob[0].cx(),blob[0].cy()) #方式1 print(blob) print(clock.fps())
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@kidswong999 嗯嗯 谢谢了